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Finding Near Rank Deficiency in Matrix Products

dc.contributor.authorStewart, Michaelen_US
dc.date.accessioned2003-07-03en_US
dc.date.accessioned2004-05-19T12:23:37Zen_US
dc.date.accessioned2011-01-05T08:37:53Z
dc.date.available2004-05-19T12:23:37Zen_US
dc.date.available2011-01-05T08:37:53Z
dc.date.created1998en_US
dc.date.issued1998en_US
dc.description.abstractThis paper gives a theorem characterizing approximately minimal norm rank one perturbations E and F that make the product (A + E)(B + F)T rank deficient. The theorem is stated in terms of the smallest singular value of a particular matrix chosen from a parameterized family of matrices by solving a nonlinear equation. Consequently, it is analogous to the special case of the Eckhart-Young theorem describing the minimal perturbation that induces an order one rank deficiency. While the theorem does not naturally extend to higher order rank deficiencies, it can be used to compute a complete orthogonal product decomposition to give improved practical reliability in revealing the numerical rank of ABT.en_US
dc.format.extent263774 bytesen_US
dc.format.extent356 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.format.mimetypeapplication/octet-streamen_US
dc.identifier.urihttp://hdl.handle.net/1885/40735en_US
dc.identifier.urihttp://digitalcollections.anu.edu.au/handle/1885/40735
dc.language.isoen_AUen_US
dc.subjectrank deficient matricesen_US
dc.subjectmatricesen_US
dc.subjectorder one rank deficiencyen_US
dc.subjectorthogonal product decompositionen_US
dc.subjecthigher order rank deficiencyen_US
dc.titleFinding Near Rank Deficiency in Matrix Productsen_US
dc.typeWorking/Technical Paperen_US
local.citationTR-CS-98-13en_US
local.contributor.affiliationANUen_US
local.contributor.affiliationDepartment of Computer Science, FEITen_US
local.description.refereednoen_US
local.identifier.citationmonthdecen_US
local.identifier.citationyear1998en_US
local.identifier.eprintid1554en_US
local.rights.ispublishedyesen_US

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